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http://hdl.handle.net/10603/536330
Title: | Water Quality Monitoring Assessment And Modelling Of River Daya At Bhubaneswar India |
Researcher: | Agrawal, Kamal Kishore |
Guide(s): | Panda, Chittaranjan and Bhuyan, Mahendra Kumar |
Keywords: | Engineering Engineering and Technology Engineering Civil |
University: | Siksha O Anusandhan University |
Completed Date: | 2023 |
Abstract: | The water quality of the river Daya is degraded as it receives the wastewater of newlineBhubaneswar city through Gangua stream. It is one of the polluted rivers and its water newlinequality is classified as Class D, as per Central pollution control Board, India. The newlinedisposal of untreated domestic wastewater affects the water quality parameters like newlinedissolved oxygen (DO), carbonaceous biochemical oxygen demand (CBOD), newlinetemperature, conductivity and alkalinity etc. The study period was divided into three newlinedifferent seasons i.e., pre-monsoon (April), monsoon month (September) and postmonsoon newlinemonth (December). The variations in the Water Quality Index (WQI) values newlinewere observed at all the nine sampling stations distributed along the river stretch. newlineArithmetic WQI shows qualitatively water quality variation at different sampling newlinelocations. At sampling point D1 that is upstream of point source discharge Gangua newlineduring April, September and December (2016), the water quality status is good and can newlinebe used for drinking, irrigation and industry. But, at D2 downstream of Gangua during newlinethe respective month, the water quality varies from poor to unsuitable which cannot be newlineused without treatment. To restrict the direct entry of city wastewater into the river, newlineproper legislation and development of proper sewerage system for the city is needed. newlineThe water quality is restored along the stretch gradually after some kilometres newlinedownstream, may be due to reaeration and self-purification capacity of the river to the newlineextent that water can be used for human consumption after conventional treatment. It is newlineobserved that the additive NSF-WQI additive lacks sensitivity in calculating the water newlinequality status as a whole. The multiplicative form NSF-WQI is more sensitive in newlinecalculating the water quality. newlineQUAL2Kw modelling was done with respect to six water quality parameters like DO, newlineBOD, temperature, conductivity, alkalinity and pH at ten different sampling locations in newlinethe pre-monsoon (April), monsoon (September) and post-monsoon (December) during newlinethe year 20 |
Pagination: | |
URI: | http://hdl.handle.net/10603/536330 |
Appears in Departments: | Department of Civil Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 242.02 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 1.33 MB | Adobe PDF | View/Open | |
03_content.pdf | 205.29 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 122.75 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 896.8 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 275.71 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 3 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 2.98 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 2.08 MB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 1.34 MB | Adobe PDF | View/Open | |
11_chapter 7.pdf | 200.75 kB | Adobe PDF | View/Open | |
12_annexures.pdf | 511.65 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 439.15 kB | Adobe PDF | View/Open |
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